无输送机矩阵装配布局设计,以最大限度地提高劳动生产率和足迹的使用

Ankur Verma, Seog-Chan Oh, James W. Wells, J. Arinez, S. Kumara
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引用次数: 1

摘要

自20世纪早期的汽车制造以来,汽车工业一直使用直线输送系统来移动车辆通过总装过程。随着产品转向电动汽车(ev)和自主移动机器人(amr)的出现,有机会将装配过程转变为更灵活的基于矩阵的无输送机系统。一个关键的开发需求是如何构建和优化这样一个异步系统。本文提出了一种设计无传送带矩阵装配布局的新方法,以最大限度地提高劳动生产率、工作站利用率和占地面积利用率,同时最大限度地降低系统成本和周期时间。具体而言,我们开发了一个异步装配系统的汽车装饰领域。我们的目标是回答以下问题:我们如何决定异步装配系统的最佳工作站数量,从而使生产力和投资回报率最大化?为此,我们使用周期时间、每个工作站的操作次数、参考高度和优先级图作为输入变量。相似性矩阵用于量化工作站之间的工具、人体工程学和人类操作的相似性。工作站利用率百分比和完工时间是用来比较不同布局的指标。最后,我们进行成本和完工时间分析,以评估装饰面积成本与总收入的比例,计算完工时间,并报告研究中发现的最佳布局。量化主观数据、可重复性、更少的设置和仿真时间是使该方法对任何虚拟调试软件(智能制造生态系统的组成部分)都有价值的属性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conveyer-Less Matrix Assembly Layout Design to Maximize Labor Productivity and Footprint Usage
The automotive industry has used in-line conveyor systems to move vehicles through the general assembly process since the early days of vehicle manufacturing in the 20th century. With products shifting to EVs (Electric Vehicle) and the emergence of AMRs (Autonomous Mobile Robot), there is an opportunity to transform the assembly process into a more flexible conveyor-less matrix-based system. One key development need is how to structure and optimize such an asynchronous system. This paper presents a new methodology for designing a conveyor-less matrix assembly layout to maximize labor productivity, workstation utilization, and footprint usage, while minimizing the system costs, and cycle times. Specifically, we develop an asynchronous assembly system for the automotive trim area. We aim to answer the question: How do we decide on an optimum number of workstations for the asynchronous assembly system, such that productivity and ROI are maximized? For this, we use cycle times, the number of operations per workstation, reference heights, and precedence graphs as input variables. Similarity matrices are used to quantify the similarity of tools, ergonomics, and human operations between workstations. Workstation utilization percentage and makespan are the metrics used to compare between alternative layouts. Finally, we perform a cost and makespan analysis to evaluate the ratio of trim area costs to total revenue, calculate makespan, and report the best layout found in the study. Quantifying subjective data, repeatability, less setup, and simulation time are the attributes that make this methodology valuable to any virtual commissioning software, an integral part of the smart manufacturing ecosystem.
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